Investigating the Interplay of Digital Transformation and Artificial Intelligence in Organizations: Insights From a Preliminary Qualitative Analysis

Abstract

Explore the proximity, differences and intersections among the concepts of digital transformation, digitization and artificial intelligence within organizations In-field validation of digital transformation The Grounded Theory (GT) methodology proposed by Strauss and Corbin (1998) was adopted as our method since it describes a systematic approach to data gathering, analysis and theoretical standing (codes) Empirical validation of proposed theories Better comprehension of digital transformation Social perception of the explored concepts

AI’s Evolutionary Role in Data Management and its Profound Influence on Business Outcomes

“…AI can improve data management by automating data processing tasks, identifying patterns and trends in data, and making predictions based on historical data. Effective data management can provide AI systems with the necessary data to learn and improve performance [3]. AI has been identified as an essential driver in digital transformation, which involves adopting technologies to modify human work configurations.…”

“…AI has been identified as an essential driver in digital transformation, which involves adopting technologies to modify human work configurations. AI can enhance customer experience and improve business value delivery by leveraging data management techniques to process and analyze large amounts of data [3]. In this context, the interplay between data management and AI can lead to better decisionmaking, improved organizational performance, and the development of new customer solutions and business models.…”